Find agents, MCP servers, and agentic infrastructure.

Protocol and ecosystem for tool-connected AI apps.

Use when evaluating protocol-level infrastructure for connected agents.

AI browser automation framework.

Use when building browser agents that need deterministic code plus AI-assisted actions.

Python agent framework from the Pydantic team.

Use when a Python agent needs strong typing, structured outputs, and Pydantic ecosystem integration.

TypeScript framework for AI agents.

Use when building TypeScript-native agent applications with workflows and memory.

Framework for multi-agent AI applications.

Use when comparing multi-agent frameworks and conversation-based agent architectures.

Framework for stateful agent applications.

Use when building stateful or multi-step agent workflows that need explicit control flow.

Data framework for LLM and agent applications.

Use when an agent needs structured retrieval or data connectors for knowledge-heavy tasks.

Framework for building LLM applications and agents.

Use when building agent workflows that need tool use, retrieval, memory, and orchestration.

Open standard connecting AI apps to tools and data.

Use when an agent needs structured access to external tools, resources, prompts, or workflows.

Open protocol work for agent-initiated payments.

Use when an agent needs to evaluate standards for delegated purchases, payment authorization, or commerce workflows.

Open protocol for agent-to-agent interoperability.

Use when researching standards for communication between independent agent systems.

Build apps that run inside ChatGPT.

Use when a product needs an interactive app surface inside ChatGPT with MCP-backed actions.